Compressive and shear properties of carbon fiber composite square honeycombs with optimized high-modulus hierarchical phases

التفاصيل البيبلوغرافية
العنوان: Compressive and shear properties of carbon fiber composite square honeycombs with optimized high-modulus hierarchical phases
المؤلفون: Xiao-Jian Chen, Guo-Cai Yu, Linzhi Wu, Li-Jia Feng, Yang Zhitao
المصدر: Composite Structures. 201:845-856
بيانات النشر: Elsevier BV, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Materials science, Composite number, Modulus, Micromechanics, 02 engineering and technology, 021001 nanoscience & nanotechnology, Shear (sheet metal), Honeycomb structure, 020303 mechanical engineering & transports, Compressive strength, 0203 mechanical engineering, Phase (matter), Ceramics and Composites, Shear strength, Composite material, 0210 nano-technology, Civil and Structural Engineering
الوصف: This paper focuses on strengthening carbon fiber hierarchical composite square honeycomb structures (HCSH) by selecting high-modulus hierarchical phase and optimizing its thickness. HCSH have been manufactured from carbon fiber composite foam sandwich structures by a simple snap-fit and bonding method. The measured compressive and shear strengths are shown to be well predicted by micromechanics failure models of HCSH. Compared to the monolithic composite square honeycomb structures (CSH), the measured specific out-of-plane compressive strength of HCSH improves to approximately 330% and the specific shear strength improves to about 180%. Furthermore, the relationships between hierarchical phase modulus and its optimum thickness are developed to design the optimum HCSH. Carbon fiber HCSH are found to exhibit better mechanical properties than other cellular structures, and thus provide new opportunities for light-weight multifunctional sandwich structures.
تدمد: 0263-8223
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7f19acf43b112e06f41b95ae609e6904
https://doi.org/10.1016/j.compstruct.2018.06.080
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........7f19acf43b112e06f41b95ae609e6904
قاعدة البيانات: OpenAIRE